Presentation | 2006-09-08 Example-based image recognition and eigenspace representation Hiroshi Murase, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes example-based image recognition, which recently attracts the more attention as computer power increases higher. In this method, a large number of examples are prepared in the dictionary, and an input pattern is matched with them. Eigenspace is useful representation to reduce the computational cost for matching. These ideas are unconsciously used from old days. This paper introduces several methods related to the example-based recognition that author proposed so far. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Image recognition / Learning sample / Eigenspace representation |
Paper # | PRMU2006-74 |
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Committee | PRMU |
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Conference Date | 2006/9/1(1days) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Example-based image recognition and eigenspace representation |
Sub Title (in English) | |
Keyword(1) | Image recognition |
Keyword(2) | Learning sample |
Keyword(3) | Eigenspace representation |
1st Author's Name | Hiroshi Murase |
1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
Date | 2006-09-08 |
Paper # | PRMU2006-74 |
Volume (vol) | vol.106 |
Number (no) | 229 |
Page | pp.pp.- |
#Pages | 6 |
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